Pre-built binary wheels require PyTorch 2.4.1

Added

• Added wheels for cuda 12.4
• Added conda builds for python 3.11
• Added wheels for rocm 6.1

Improved

• Profiler: Fix computation of FLOPS for the attention when using xFormers
• Profiler: Fix MFU/HFU calculation when multiple dtypes are used
• Profiler: Trace analysis to compute MFU & HFU is now much faster
• fMHA/splitK: Fixed nan in the output when using a torch.Tensor bias where a lot of consecutive keys are masked with -inf
• Update Flash-Attention version to v2.6.3 when building from scratch
• When using the most recent version of Flash-Attention, it is no longer possible to mix it with the cutlass backend. In other words, it is no longer possible to use the cutlass Fw with the flash Bw.

Removed

• fMHA: Removed decoder and small_k backends
• profiler: Removed DetectSlowOpsProfiler profiler
• Removed compatibility with PyTorch < 2.4
• Removed conda builds for python 3.9
• Removed windows pip wheels for cuda 12.1 and 11.8